International Journal of Forest Engineering (@JournalForestE) header
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Taylor & Francis journal covering forestry operations topics related to the management, harvesting, processing, and transportation of timber.

Joined September 2024
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Field trials on Acacia trees evaluated a hydraulic shear–chainsaw harvester head for low-stump harvesting. Crown anomalies were associated with longer delimbing-bucking times, highlighting the role of tree form in operational efficiency. doi.org/10.1080/14942119.202…
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ForestTime is an open Android app for IUFRO-standardized forest-machine time studies. It combines field recording, machine-specific work elements, real-time sample-size guidance, cycle production data, and reproducible export to R. doi.org/10.1080/14942119.202…
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A new study highlights substantial variation in harvesting conditions and cost-competitiveness among young thinning stands with neglected management in Finland.
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Is this a new concept to help forest machine operators keep track of thinning intensity throughout a harvest operation?
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A recently published paper proposes and validates the idea of creating a LiDAR-based digital twin of the stand before the harvest, which is then updated in real time as the harvest proceeds. This provides the operator with support for decision-making and reporting.
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Interviewed with the Analytic Hierarchy Process (AHP) technique, 110 loggers from Central and Southern Italy indicated that low investment cost is the dominant driver when purchasing a cable yarder for extraction in Mediterranean forests.
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RFID in forestry: Is digital tree marking a step towards precision forestry? Researchers have confirmed the stability and reliability of RFID tags in harsh forest conditions. #DigitalForestry #PrecisionForestry #RFID #TimberTraceability #ForestManagement #ForestDigitalisation
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This study demonstrates how RFID can support the shift towards data-driven forest management and digital precision forestry.
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Can cable logging become energy self-sufficient? Experimental field tests and simulations show that a hybrid self-propelled forestry carriage can reduce fuel consumption by 40-100% and, under favourable downhill conditions, achieve energy-autarkic operation.
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How can we better predict fuel consumption and travel time for logging trucks? Using real data from 21 trucks, we developed anetwork-aware model that captures road conditions, speed changes and intersections—improving accuracy while remaining efficient for large-scale routing.
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Researchers first applied stochastic programming to inventory control of willow pellet production facility, providing 44% cost variability reduction compared to the deterministic approach, suggesting more predictable costs are possible under uncertainty. doi.org/10.1080/14942119.202…
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A new forestry crane (10.6 m boom with a slewing column) was designed using FEA, prototyped and validated in the field. Tests confirms a 3t capacity within safe operating limits, whilst statistical analyses demonstrate the effect of log diameter and length on loading efficiency.
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